Remove Business Intelligence Remove Metadata Remove Non-relational Database
article thumbnail

Data Engineering Glossary

Silectis

If you’re new to data engineering or are a practitioner of a related field, such as data science, or business intelligence, we thought it might be helpful to have a handy list of commonly used terms available for you to get up to speed. MySQL An open-source relational databse management system with a client-server model.

article thumbnail

Data Collection for Machine Learning: Steps, Methods, and Best Practices

AltexSoft

Data collection is a methodical practice aimed at acquiring meaningful information to build a consistent and complete dataset for a specific business purpose — such as decision-making, answering research questions, or strategic planning. Non-relational databases , on the other hand, work for data forms and structures other than tables.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

100+ Big Data Interview Questions and Answers 2023

ProjectPro

NameNode is often given a large space to contain metadata for large-scale files. The metadata should come from a single file for optimal space use and economic benefit. The following are the steps to follow in a NameNode recovery process: Launch a new NameNode using the FsImage (the file system metadata replica).

article thumbnail

The Role of Database Applications in Modern Business Environments

Knowledge Hut

Database Software- Other NoSQL: NoSQL databases cover a variety of database software that differs from typical relational databases. Key-value stores, columnar stores, graph-based databases, and wide-column stores are common classifications for NoSQL databases.

article thumbnail

IBM InfoSphere vs Oracle Data Integrator vs Xplenty and Others: Data Integration Tools Compared

AltexSoft

Oracle Data Integrator has the functionality that automatically analyzes metadata from various data stores, detects patterns, generates, and then applies data quality rules to identify any issues among actual values. The prevailing part of users claim that it is quite easy to configure and manage data flows with Oracle’s graphical tools.